Titanic Dataset display the analysis of the titanic ship passengers

It was seen that the survival rate was base mainly on the passenger's class eg "First Class", age and gender.

How to complete this?

  • Import the titanic dataset from Kaggle.com
  • Check for duplicate values
  • Delete the unnecessary columns eg. "Name", "Cabin"
  • Remove any trailing white space
  • Remove or fill any missing values

Project Recommendation and Conclusion

Prioritize women and children in evacuation protocols, as they have the highest survival likelihood and align with historical emergency procedures. Strengthen safety communication and support for passengers traveling with family, especially older adults, who had lower survival rates.

Majority of Passengers Were Male (64.4%), yet males had a much lower survival rate (12.30%) compared to females (25.90%). Females had a significantly higher survival rate, especially when family was present.

Information

  • Project Name:
    Titanic Data Analysis
  • Clients:
    TDI Community
  • Budget:
    $0.00
  • Duration:
    2 days
  • Date:
    09 Sept, 2024

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